Albertsons - Pleasanton, CA
posted 4 months ago
The Principal Data Science Architect will be a key technical leader responsible for designing and implementing the data science architecture that underpins our AI and ML modeling capabilities and integration with applications and data pipelines. This person will scale multiple data science models to retail platforms. This role demands a visionary thinker with deep technical expertise and a strategic mindset, who can drive the evolution of our data science infrastructure and methodologies. The position will be based in Pleasanton, CA, one of our main regional offices, which include Seattle, WA, Portland, OR, Denver, CO, Dallas, TX, Chicago, IL, or Fullerton, CA, and Phoenix, AZ. In this role, you will define and implement the overarching data science architecture and strategy, ensuring the scalability, performance, and reliability of data science solutions. You will lead the selection and integration of data science tools, frameworks, and platforms, and build and deploy data science solutions at scale. You will also design and develop advanced machine learning and statistical models, oversee their deployment into production environments, and ensure best practices in data engineering, model management, and version control. Collaboration is key, as you will work closely with data engineers, data scientists, and software engineers to build and maintain robust data pipelines. You will provide technical mentorship and guidance to the data science team and collaborate with cross-functional teams to translate business requirements into scalable data science solutions. Staying abreast of the latest advancements in data science, machine learning, and AI technologies is essential, as you will evaluate and implement new tools and technologies to enhance the data science architecture. Additionally, you will establish and enforce data science best practices, including coding standards, documentation, and model validation, while ensuring data security and compliance with relevant regulations and standards. Developing and maintaining comprehensive documentation of the data science architecture and processes will also be part of your responsibilities.